First, we revise previous work on roles in social networks and defend the need to follow a more mesoscopic approach to role identification.
Many metwork security and management applications, such as port scanning, worm detecting, traffic classification etc., are closely related to port role identification.
Indeed, boys with active involvement of their fathers tend to have stronger sex role identification than the other group of boys.
Flouri and Buchanan (2004) study concur that father's absence can adversely affect the children's sex role identification and sex typing of male children.
Port role identification based on macroscopic behavior can reflect severs or clients to discover new services or attacks in the network.
In this paper, we propose a novel port role identification approach called PortView, which is based on fuzzy macroscopic port behavior analysis.
Traditional studies on port role identification are only based on port behavior shown on an individual host, other than jointly viewed macroscopic port behavior embodied by all relevant traffic flows among multiple hosts.
The data collected for this study does suggest that many students noted the phenomena of role immersion (i.e., getting into the learning experience; e.g., Lessiter et al. 2001) and role identification (i.e., feeling that they relate to that role or sense of belonging and commitment e.g., Handley et al. 2006).
Devising methods for role identification is important for network science because roles offer a scheme for network reduction and the construction of simplified maps of the original structure; but also, and significantly, because they offer a criterion to group nodes in categories that might be associated with similar behavior.
To test the hypothesis that cardiovascular responses across stressor phases (anticipation, stressor, recovery) are higher when gender or gender-role identification match with the gender relevance of the stressor than in case of a mismatch and gender irrelevance which are not supposed to differ.
